class_docstr: Adds the node degree as one hot encodings to the node features
  (functional name: :obj:`one_hot_degree`).
  
  Args:
      max_degree (int): Maximum degree.
      in_degree (bool, optional): If set to :obj:`True`, will compute the
          in-degree of nodes instead of the out-degree.
          (default: :obj:`False`)
      cat (bool, optional): Concat node degrees to node features instead
          of replacing them. (default: :obj:`True`)
code: def forward(self, data: Data) -> Data:
      assert data.edge_index is not None
      idx, x = data.edge_index[1 if self.in_degree else 0], data.x
      deg = degree(idx, data.num_nodes, dtype=torch.long)
      deg = one_hot(deg, num_classes=self.max_degree + 1)
  
      if x is not None and self.cat:
          x = x.view(-1, 1) if x.dim() == 1 else x
          data.x = torch.cat([x, deg.to(x.dtype)], dim=-1)
      else:
          data.x = deg
  
      return data
  
file_path: pytorch_geometric/torch_geometric/transforms/one_hot_degree.py
imports: import torch
  from torch_geometric.data import Data
  from torch_geometric.data.datapipes import functional_transform
  from torch_geometric.transforms import BaseTransform
  from torch_geometric.utils import degree, one_hot
label_desc: Use image node_id 2 for calling the OneHotDegree obj's underlying member method code with example usage: obj.forward(data) and returns: data